CameoDB
Combines ACID key-value durability with distributed full-text search to deliver a decentralized hybrid search engine for applications and AI agents.
CameoDB is a high-performance, decentralized hybrid search database built in Rust that unites the crash durability of an ACID-compliant key-value store with the speed of an inverted full-text search index. Featuring a masterless architecture powered by consistent hashing and Kademlia DHT peer discovery, it eliminates central coordination overhead and single points of failure. Designed with native support for the Model Context Protocol (MCP), dynamic tiered memory caching, automated schema inference, and language-aware stemmers, CameoDB provides an all-in-one storage and retrieval foundation capable of streaming and indexing multi-format datasets directly for modern AI workflows.